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Modeling and forecasting of time series data has fundamental importance in various practical domains. The aim of this book is to present a concise description of some popular time series forecasting models with their salient features. Three important classes of time series models, viz. stochastic, neural networks and support vector machines are studied together with their inherent forecasting strengths and weaknesses. The book also meticulously discusses about several basic issues related to time series analysis, such as stationarity, parsimony, overfitting, etc. Our study is enriched by presenting the empirical forecasting results, conducted on six real-world time series datasets. Five performance measures are used to evaluate the forecasting accuracies of different models as well as to compare the models. For each of the six time series datasets, we further show the obtained forecast diagram which graphically depicts the closeness between the original and predicted observations.
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About the Author:
Ratnadip Adhikari completed M.Sc (Applied Maths) and M.Tech (Comp Sc. & Technology) respectively in 2006 and 2009 from IIT Roorkee and JNU New Delhi. Currently, he is pursuing PhD from SC&SS, JNU. His primary research interests include time series modeling and forecasting, data stream classification and ensemble of multiple soft-computing models.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2013
- ISBN 10 3659335088
- ISBN 13 9783659335082
- BindingPaperback
- Number of pages76
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An Introductory Study on Time Series Modeling and Forecasting
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modeling and forecasting of time series data has fundamental importance in various practical domains. The aim of this book is to present a concise description of some popular time series forecasting models with their salient features. Three important classes of time series models, viz. stochastic, neural networks and support vector machines are studied together with their inherent forecasting strengths and weaknesses. The book also meticulously discusses about several basic issues related to time series analysis, such as stationarity, parsimony, overfitting, etc. Our study is enriched by presenting the empirical forecasting results, conducted on six real-world time series datasets. Five performance measures are used to evaluate the forecasting accuracies of different models as well as to compare the models. For each of the six time series datasets, we further show the obtained forecast diagram which graphically depicts the closeness between the original and predicted observations. 76 pp. Englisch. Seller Inventory # 9783659335082
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An Introductory Study on Time Series Modeling and Forecasting
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modeling and forecasting of time series data has fundamental importance in various practical domains. The aim of this book is to present a concise description of some popular time series forecasting models with their salient features. Three important classes of time series models, viz. stochastic, neural networks and support vector machines are studied together with their inherent forecasting strengths and weaknesses. The book also meticulously discusses about several basic issues related to time series analysis, such as stationarity, parsimony, overfitting, etc. Our study is enriched by presenting the empirical forecasting results, conducted on six real-world time series datasets. Five performance measures are used to evaluate the forecasting accuracies of different models as well as to compare the models. For each of the six time series datasets, we further show the obtained forecast diagram which graphically depicts the closeness between the original and predicted observations. Seller Inventory # 9783659335082
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An Introductory Study on Time Series Modeling and Forecasting
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Adhikari RatnadipRatnadip Adhikari completed M.Sc (Applied Maths) and M.Tech (Comp Sc. & Technology) respectively in 2006 and 2009 from IIT Roorkee and JNU New Delhi. Currently, he is pursuing PhD from SC&SS, JNU. His primary researc. Seller Inventory # 5149337
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